Karthik Murugan

589 total citations
8 papers, 385 citations indexed

About

Karthik Murugan is a scholar working on Molecular Biology, Epidemiology and Insect Science. According to data from OpenAlex, Karthik Murugan has authored 8 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Insect Science. Recurrent topics in Karthik Murugan's work include CRISPR and Genetic Engineering (7 papers), Cytomegalovirus and herpesvirus research (2 papers) and Insect symbiosis and bacterial influences (2 papers). Karthik Murugan is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Cytomegalovirus and herpesvirus research (2 papers) and Insect symbiosis and bacterial influences (2 papers). Karthik Murugan collaborates with scholars based in United States, India and Italy. Karthik Murugan's co-authors include Dipali G. Sashital, Arun S. Seetharam, Andrew Severin, Kesavan Babu, Rakhi Rajan, Alan L. Eggenberger, Keunsub Lee, Kan Wang, Raviraj Banakar and David A. Wright and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Karthik Murugan

8 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karthik Murugan United States 7 339 76 54 46 39 8 385
Lucie Studená United Kingdom 3 358 1.1× 61 0.8× 64 1.2× 35 0.8× 24 0.6× 4 395
Muzi Hu China 5 390 1.2× 73 1.0× 108 2.0× 33 0.7× 36 0.9× 5 403
Sushmitha Paulraj Lithuania 4 385 1.1× 91 1.2× 62 1.1× 43 0.9× 59 1.5× 5 398
Sae Okazaki Japan 8 470 1.4× 47 0.6× 61 1.1× 34 0.7× 46 1.2× 10 502
Kesavan Babu United States 8 333 1.0× 32 0.4× 40 0.7× 30 0.7× 35 0.9× 11 371
Haopeng Yu China 12 485 1.4× 123 1.6× 65 1.2× 22 0.5× 36 0.9× 22 533
James R. Rybarski United States 7 505 1.5× 51 0.7× 59 1.1× 26 0.6× 28 0.7× 13 537
Kuan Ren China 8 502 1.5× 35 0.5× 50 0.9× 63 1.4× 69 1.8× 14 559
Ryoya Nakagawa Japan 7 398 1.2× 39 0.5× 52 1.0× 29 0.6× 45 1.2× 10 425
Daphne Collias Germany 7 292 0.9× 34 0.4× 47 0.9× 37 0.8× 27 0.7× 7 310

Countries citing papers authored by Karthik Murugan

Since Specialization
Citations

This map shows the geographic impact of Karthik Murugan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Karthik Murugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Murugan more than expected).

Fields of papers citing papers by Karthik Murugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karthik Murugan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Karthik Murugan. The network helps show where Karthik Murugan may publish in the future.

Co-authorship network of co-authors of Karthik Murugan

This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Murugan. A scholar is included among the top collaborators of Karthik Murugan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karthik Murugan. Karthik Murugan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Cromer, M. Kyle, Garrett R. Rettig, Karthik Murugan, et al.. (2023). Comparative analysis of CRISPR off-target discovery tools following ex vivo editing of CD34+ hematopoietic stem and progenitor cells. Molecular Therapy. 31(4). 1074–1087. 19 indexed citations
2.
Sekar, Pandiaraj, Shanmugam Senthil Kumar, Stefano Agnoli, et al.. (2022). Green synthesis of a redox-active riboflavin-integrated Ni-MOF and its versatile electrocatalytic applications towards oxygen evolution and reduction, and HMF oxidation reactions. Green Chemistry. 24(23). 9233–9244. 25 indexed citations
3.
Murugan, Karthik, et al.. (2021). Systematicin vitrospecificity profiling reveals nicking defects in natural and engineered CRISPR–Cas9 variants. Nucleic Acids Research. 49(7). 4037–4053. 17 indexed citations
4.
Murugan, Karthik, Arun S. Seetharam, Andrew Severin, & Dipali G. Sashital. (2020). CRISPR-Cas12a has widespread off-target and dsDNA-nicking effects. Journal of Biological Chemistry. 295(17). 5538–5553. 106 indexed citations
5.
Murugan, Karthik, et al.. (2019). Enzymatic anti-CRISPRs improve the bacteriophage arsenal. Nature Structural & Molecular Biology. 26(4). 250–251. 6 indexed citations
6.
Banakar, Raviraj, Alan L. Eggenberger, Keunsub Lee, et al.. (2019). High-frequency random DNA insertions upon co-delivery of CRISPR-Cas9 ribonucleoprotein and selectable marker plasmid in rice. Scientific Reports. 9(1). 19902–19902. 60 indexed citations
7.
Mekler, Vladimir, Konstantin Kuznedelov, Leonid Minakhin, et al.. (2018). CRISPR–Cas molecular beacons as tool for studies of assembly of CRISPR–Cas effector complexes and their interactions with DNA. Methods in enzymology on CD-ROM/Methods in enzymology. 616. 337–363. 6 indexed citations
8.
Murugan, Karthik, et al.. (2017). The Revolution Continues: Newly Discovered Systems Expand the CRISPR-Cas Toolkit. Molecular Cell. 68(1). 15–25. 146 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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